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The Practical Guide to Storing, Managing and Analyzing Big and Small Data

Author: Wilfried Lemahieu,Seppe vanden Broucke,Bart Baesens

Publisher: Cambridge University Press

ISBN: 1316946754

Category: Computers

Page: N.A

View: 4915

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This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more. Fundamental concepts are supported by real-world examples, query and code walkthroughs, and figures, making it perfect for introductory courses for advanced undergraduates and graduate students in information systems or computer science. These examples are further supported by an online playground with multiple learning environments, including MySQL; MongoDB; Neo4j Cypher; and tree structure visualization. This combined learning approach connects key concepts throughout the text to the important, practical tools to get started in database management.

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This book is a concise and modern treatment of introductory database topics that enlists Java and the Internet to present core DBMS theory from an applications perspective. It incorporates programming and database applications when presenting the core theory behind DBMS and their applications. Information management is the central theme of this book. It motivates the development of data models and the representation of information in relational database systems. Readers learn how to define database content with Entity-Relationship models, and how to represent that content in relational systems. They become thoroughly familiar with the SQL language, and learn exactly what is required to build quality information-rich applications. This book is appropriate for readers interested in learning about database systems while applying the theory using Java and the Internet.

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This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced a renewal of interest in distributed and parallel data management, while, at the same time, requiring a rethinking of some of the traditional techniques. This book covers the breadth and depth of this re-emerging field. The coverage consists of two parts. The first part discusses the fundamental principles of distributed data management and includes distribution design, data integration, distributed query processing and optimization, distributed transaction management, and replication. The second part focuses on more advanced topics and includes discussion of parallel database systems, distributed object management, peer-to-peer data management, web data management, data stream systems, and cloud computing. New in this Edition: • New chapters, covering database replication, database integration, multidatabase query processing, peer-to-peer data management, and web data management. • Coverage of emerging topics such as data streams and cloud computing • Extensive revisions and updates based on years of class testing and feedback Ancillary teaching materials are available.

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DATABASE PRINCIPLES: FUNDAMENTALS OF DESIGN, IMPLEMENTATION, AND MANAGEMENT, 9e, International Edition a market-leader for database texts, gives readers a solid foundation in practical database design and implementation. The book provides in-depth coverage of database design, demonstrating that the key to successful database implementation is in proper design of databases to fit within a larger strategic view of the data environment. -Updated coverage of data models.-Improved coverage of normalization with a data modeling checklist.-Enhanced coverage of database design and life cycle.-New review questions, problem sets, and cases throughout the book.With a strong hands-on component that includes real-world examples and exercises, this book will help students develop database design skills that have valuable and meaningful application in the real world.

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This comprehensive book, now in its Fifth Edition, continues to discuss the principles and concept of Database Management System (DBMS). It introduces the students to the different kinds of database management systems and explains in detail the implementation of DBMS. The book provides practical examples and case studies for better understanding of concepts and also incorporates the experiments to be performed in the DBMS lab. A competitive pedagogy includes Summary, MCQs, Conceptual Short Questions (with answers) and Exercise Questions.